A5054482515- High-pressure geophysics and materials
- Seismic Imaging and Inversion Techniques
- earthquake and tectonic studies
- Seismic Waves and Analysis
- Geophysics and Gravity Measurements
- Seismology and Earthquake Studies
- Geological and Geochemical Analysis
- Advanced Numerical Methods in Computational Mathematics
- Matrix Theory and Algorithms
- Black Holes and Theoretical Physics
- Soil, Finite Element Methods
- Methane Hydrates and Related Phenomena
- Geomagnetism and Paleomagnetism Studies
- Cosmology and Gravitation Theories
Princeton University
2020-2024
University of Bergen
2016-2021
SUMMARY For over 40 yr, the global centroid-moment tensor (GCMT) project has determined location and source parameters for globally recorded earthquakes larger than magnitude 5.0. The GCMT database remains a trusted staple geophysical community. Its point-source moment-tensor solutions are result of inversions that model long-period observed seismic waveforms via normal-mode summation 1-D reference earth model, augmented by path corrections to capture 3-D variations in surface wave phase...
Abstract Southern New England exhibits diverse geologic features resulting from past tectonic events. These include Proterozoic and early Paleozoic Laurentian units in the west, several Gondwana‐derived terranes that accreted during east, Mesozoic Hartford Basin central part of region. The Seismic Experiment for Imaging Structure beneath Connecticut (SEISConn) project involved deployment a dense array 15 broadband seismometers across northern to investigate architecture lithospheric...
Research Article| November 30, 2016 GLImER: A New Global Database of Teleseismic Receiver Functions for Imaging Earth Structure Stéphane Rondenay; Rondenay aDepartment Sciences, University Bergen, Postboks 7803, N‐5020 Norwayrondenay@uib.no Search other works by this author on: GSW Google Scholar Kathrin Spieker; Spieker Lucas Sawade; Sawade Felix Halpaap; Halpaap Mari Farestveit Seismological Letters (2017) 88 (1): 39–48. https://doi.org/10.1785/0220160111 Article history first online: 14...
SUMMARY The calculation of synthetic seismograms for global centroid moment tensor (GCMT) inversions relies on advanced 3-D Earth models. However, use the path-average approximation mode summation and surface-wave ray theory limits method’s accuracy. This can cause incorrect predictions ground motion amplitude polarization, other unaccounted-for effects, which bias estimated earthquake parameters. To address this issue, we have developed a new efficient way to calculate, store access...
Currently, the accuracy of synthetic seismograms used for Global CMT inversion, which are based on modern 3D Earth models, is limited by validity path-average approximation mode summation and surface-wave ray theory. Inaccurate computation ground motion’s amplitude polarization as well other effects that not modeled may bias inverted earthquake parameters. Synthetic higher will improve determination seismic sources in analysis, remove concerns about this source uncertainty. Strain...
<p>Project GLImER (Global Lithospheric Imagining using Earthquake Recordings) aims to conduct a global survey of lithospheric interfaces converted teleseismic body waves. Data from permanent and temporary seismic networks worldwide are processed automatically produce maps key (crust-mantle boundary, intra-lithospheric interfaces, lithosphere-asthenosphere boundary). In this presentation, we reflect on the challenges associated with automating analysis waves potential resulting...
Over the last decades, receiver function technique has been widely used to image sharp discontinuities in elastic properties of solid Earth at regional scales. To date, very few studies have attempted use functions for global imaging. One such endeavour pursued through project “Global Lithospheric Imaging using Earthquake Recordings” (GLImER). Building on advances GLImER, we developed PyGLImER - a Python-based software suite capable creating images from both P-to-S and S-to-P converted waves...
Receiver functions, an important tool in understanding sub-surface interfaces, can be analysed through carefully implemented neural networks. We demonstrate this approach. Previously, we introduced our receiver function set, Pythonic Global Lithospheric Imaging using Earthquake Recordings (PyGLImER). PyGLImER enables us to: [1] create a database of teleseismic event displacement records at worldwide seismic stations, [2] compute functions from these records, and [3] volumetric common...